Zitao Zhang

Location: New York, NY
Email:
Phone: +1(206) 390-2802
LinkedIn: Zitao Zhang

Education Background

  • University of Washington, Bachelor of Science in Statistics (Data Science), Sept. 2020 – June 2024, Seattle, WA
    GPA: 3.76/4.0
    Relevant Coursework: Probability and Mathematical Statistics, Linear Algebra, Computer Programming, Data Visualization, Data Structures and Algorithms, Intro to Database System, Statistical Machine Learning, Intermediate Data Programming

  • Columbia University Irving Medical Center, Master of Science in Biostatistics (Theory and Methods), Sept. 2024 – May 2026, New York, NY

Project Experience

  • Phase 3 Clinical Trial Statistical Analysis
    Aug. 2023 – Mar. 2024, New York, NY
    Mentored by a Senior Biostatistician at Bristol Myers Squibb
    Analyzed a clinical trial for a novel drug treating major depressive disorder. Utilized mixed models for repeated measures and created an interactive data dashboard in R Shiny.

  • Data Analytics Strategy and Business Analysis
    June 2023 – Aug. 2023, Austin, TX
    Mentored by a Senior Associate at Facebook
    Developed predictive models for customer preferences, created product recommendation systems, and provided business insights through Tableau visualizations.

  • Pfizer-BioNTech COVID Vaccine Efficacy Analysis
    Mar. 2023 – June 2023, Seattle, WA
    STAT 342 Final project at University of Washington
    Used Bayesian and Frequentist approaches to evaluate the efficacy of the BNT162b2 COVID-19 vaccine, confirming its effectiveness with robust statistical methodologies.

Research Experience

  • Machine Learning and Data Analysis
    May 2021 – Sept. 2021, Carnegie Mellon University, Pittsburgh, PA
    Supervised by Prof. Pradeep Ravikumar
    Employed various prediction methods for MBTI analysis based on social media data. Research accepted and published at the CONF-CDS 2022.

Professional Experience

  • Externship, Gaming Market Research and Data Analytics
    July 2022 – Sept. 2022, Mobalytics, Los Angeles, CA
    Conducted market analysis for 20+ gaming products, performed data manipulation, and presented insights for project leadership.

Community Engagement

  • Student Representative, Students Expressing Environmental Dedication (SEED), Sept. 2021 – June 2022, Seattle, WA
    Led recycling initiatives and analyzed campus pollution data with Python, driving improvements in waste management.

Languages & Skills

  • Languages: Chinese (Native), English (Fluent)
  • Computer Skills: R, Python, Tableau, SQL, Git, Java, JavaScript, MATLAB, Microsoft Office